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Given the task definition, example input & output, solve the new input case. In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words. Example: Mixed precision training (MPT) i...
To understand the information stored in the latent space, we train a GAN-style decoder constrained to produce images that the VAE encoder will map to the same region of latent space.
1
NIv2
task668_extreme_abstract_summarization
fs_opt
[ 0.04147157818078995, -0.07884491980075836, -0.7832119464874268, -0.097371406853199, 0.8721925020217896, -0.2590397894382477, 0.704067587852478, 0.8428395986557007, 0.1802445501089096, 0.256263792514801, -0.4505271911621094, 0.05775817856192589, -0.45138075947761536, 0.330558180809021, 0....
In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The sentences have been se...
N ****
4
NIv2
task534_farstail_entailment
fs_opt
[ 0.2997802793979645, 0.21519823372364044, 0.03836825489997864, 0.5672807693481445, 0.05859309807419777, -1.3149151802062988, 1.0402052402496338, 0.23936453461647034, 0.3094763159751892, 0.14892740547657013, -0.8301974534988403, 0.6242890357971191, -0.02519356831908226, 0.41791778802871704, ...
You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option . [Q]: Statement: गुलबर्गा (अधिकृत नाव - कलबुरगी) <MASK> कर्नाटक राज्यातील एक शहर आहे. हे शहर गुलबर्गा जिल्ह्याचे प...
इंग्लंड
5
NIv2
task950_wiki_cloze_mr_multiple_choice_question_answering
fs_opt
[ 0.17896926403045654, 0.7466728091239929, -0.5217750072479248, -0.03828031197190285, -0.20313656330108643, -0.6071885824203491, 0.15728867053985596, 0.06142779439687729, 0.048902153968811035, 0.08592965453863144, 0.12572123110294342, 0.3897446393966675, -0.6238402128219604, -0.4003097712993...
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is. One example: The first two were found unreliable and the prosecution case rested mainly on the evidence of the remaining five approvers . Solution is here: पहले द...
आप जल्दी ही सारी दुनिया में तूफान की तरह इंकलाब होते हुए देखेंगे ।
6
NIv2
task425_hindienglish_corpora_en_hi_translation
fs_opt
[ 0.55741286277771, 0.3767719268798828, 0.6710594892501831, 0.2247106432914734, -0.029076065868139267, -0.3385123610496521, -0.3668513894081116, 0.5316734910011292, -0.22805553674697876, -0.32816267013549805, -0.8554353713989258, -0.5644744634628296, -0.014646831899881363, 0.0226124674081802...
In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article. Q: Article: In the computer age, most of us take a broadband Internet connection for granted. Whether cable or mobile broadband, today's connections are many times faster than those in t...
What may eventually settle the "last mile" problem?
4
NIv2
task311_race_question_generation
zs_opt
[ 0.05256304517388344, 0.7830914258956909, -0.563887357711792, -0.30448058247566223, 0.14657440781593323, 0.15658490359783173, 0.3411718010902405, 1.052857518196106, -0.18464012444019318, 0.08091600239276886, -0.5125867128372192, 0.6180779933929443, -0.709997296333313, -0.025822706520557404,...
In this task you will be given a process, and a question. The process contains a sequence of steps that happen in order. The question asks about the effect of a certain event on another event. If the first event has a positive effect on the second event, answer with "for", if it has a negative effect, answer with "agai...
against
9
NIv2
task1727_wiqa_what_is_the_effect
fs_opt
[ -0.11420640349388123, 0.06860029697418213, -0.7872443199157715, -0.08000275492668152, -0.4408579468727112, -0.8379163146018982, 0.4259890615940094, 1.0006976127624512, -0.0756678432226181, 0.07445317506790161, -0.028360221534967422, 0.1391994208097458, -0.5209236145019531, 0.19296503067016...
Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words. Example input: ...
Pacific
3
NIv2
task039_qasc_find_overlapping_words
fs_opt
[ 0.05372419208288193, 0.9102693796157837, -0.022408580407500267, -0.6316104531288147, -0.37592941522598267, -0.562944233417511, 0.23163950443267822, 0.23816293478012085, -0.13165047764778137, -0.3074517548084259, -0.7885353565216064, -0.3628736436367035, -0.609383225440979, 0.19034057855606...
In this task, you need to reverse all words of a given length in the sentence. The number of letters in a word determine its length. For example, the length of the word "apple" is 5. Sentence: 'a living room filled with furniture and windows'. Reverse all words of length '1' in the given sentence. a living room filled...
a elpuoc of men are kicking a reccos ball in a field
0
NIv2
task378_reverse_words_of_given_length
fs_opt
[ 0.003005917416885495, 0.7412241697311401, -0.20557141304016113, -0.4765726327896118, -0.2585051655769348, -0.5076563358306885, 0.18050409853458405, 0.7294421792030334, -0.05380728095769882, -0.3102235198020935, -1.2241002321243286, -0.034680284559726715, -0.7672265768051147, -0.08809521049...
Given the task definition and input, reply with output. In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English. و مردان عای بر عقب نگریسته، دیدند که اینک دود شهر بسوی آسمان بالا می‌رود. پس برای ایشان طاقت نماند که به این طرف و آن طرف بگریزند و قومی که به سوی صحر...
And when they had set the people, even all the host that was on the north of the city, and their liers in wait on the west of the city, Joshua went that night into the midst of the valley.
5
NIv2
task654_bible_fa_en_translation
zs_opt
[ -0.9663267135620117, 1.212583303451538, -0.22375929355621338, -0.5846886038780212, -0.6632293462753296, 0.4775242209434509, 0.7500219345092773, 0.3217390179634094, 0.2852490246295929, -0.25769931077957153, -1.2033584117889404, 0.6526787877082825, -0.7795031070709229, 0.2588406205177307, ...
Instructions: You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question...
the person's friends
3
NIv2
task164_mcscript_question_answering_text
zs_opt
[ 0.5136571526527405, 0.5743739008903503, -1.2371487617492676, 0.09715957939624786, -0.350175142288208, -0.10155536234378815, 1.265591025352478, 0.44909659028053284, 0.49013328552246094, -0.0987435057759285, -0.7251690626144409, 0.3099326193332672, -0.1552685797214508, -0.3520747423171997, ...
Definition: Given a negotiation between two participants, answer 'Yes' if both participants agree to the deal, otherwise answer 'No'. Input: THEM: im thinking hat and 3 balls for me,,, 2 books and 1 ball for you YOU: three balls and two books for me THEM: lets split the balls... so 2 balls each, i take the hats, you ...
Yes
2
NIv2
task1384_deal_or_no_dialog_classification
zs_opt
[ 0.5910118818283081, 0.1948094666004181, -0.12486302852630615, 0.74198317527771, 0.4720872938632965, -0.48075002431869507, -0.06244257465004921, 0.29883521795272827, 0.5050358772277832, -0.5327181220054626, -0.07999193668365479, 0.3297598659992218, -0.7960647344589233, -0.17813478410243988,...
Given the task definition and input, reply with output. In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language. (The sitting was suspended at 1.20 p.m. and resumed at 3 p.m.)
(La seduta, sospesa alle 13.20, è ripresa alle 15.00)
5
NIv2
task272_europarl_translation
zs_opt
[ -0.5337150692939758, 0.761476993560791, 0.5480497479438782, -0.2210826873779297, -0.4696226119995117, 0.23829251527786255, 0.7307912707328796, -0.004411627072840929, 0.9099459648132324, -0.4320102035999298, -0.045859675854444504, 1.0378265380859375, -0.05629255250096321, 0.3503940999507904...
A text is given in Hindi. Translate it from the Hindi language to the Urdu language. The translation must not omit or add information to the original sentence. One example is below. Q: केन्द्रीय सड़क परिवहन और राजमार्ग, नौवहन, रसायन और उर्वरक राज्य मंत्री श्री मनसुख मंडाविया ने कहा कि नागरिकों के लाभ के लिए परिवहन क्षे...
یہاں موجود سبھی سینئر سامعین، خواتین و حضرات۔
9
NIv2
task1053_pib_translation_hindi_urdu
fs_opt
[ -0.2927001416683197, 0.24289728701114655, 0.24095135927200317, -0.6044445037841797, -0.14119461178779602, -0.4641709327697754, -0.08839792758226395, 0.5014169812202454, -0.6498653888702393, 0.07453230023384094, -0.6475557684898376, -0.49357807636260986, 0.1994946002960205, -0.2267252802848...
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli...
Output: blue_pantry
2
NIv2
task153_tomqa_find_location_hard_clean
fs_opt
[ 0.7183969020843506, -0.44793927669525146, -0.679253876209259, -0.18961015343666077, -0.2271118462085724, -0.5017807483673096, 0.08975160121917725, 0.905225396156311, -0.04581592231988907, 0.05370448902249336, -0.259990394115448, 0.30247706174850464, -0.10773303359746933, -0.213017851114273...
A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs. Example Input: Text: 37 These are the feasts of the LORD, which ye shall proclaim to be holy convocations, to offer an offering made by fire unto the LORD, a burnt offering...
Dutch
3
NIv2
task447_opus_paracrawl_classification
fs_opt
[ 0.06526348739862442, 0.6008663177490234, 0.9610283374786377, -0.36934494972229004, -0.13495036959648132, -0.5907838344573975, 0.31153398752212524, 0.3981914520263672, 0.3836727738380432, -0.04056929796934128, 0.1178533062338829, 0.04569407179951668, -0.5642222166061401, 0.7524266242980957,...
Detailed Instructions: Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement. Q: Behind them is a large barn with a group of girls. A:
Someone, looking excited, leads someone through the crowd.
9
NIv2
task455_swag_context_generation
zs_opt
[ 0.3596210479736328, 1.0242136716842651, -0.5187675356864929, -0.33428722620010376, -0.6010870933532715, -0.7753481864929199, -0.2924618721008301, 1.027332067489624, -0.1620441973209381, 0.2894706130027771, -0.3229920566082001, 0.12392078340053558, -0.9980488419532776, 0.4221818745136261, ...
Teacher:You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Galician. Teacher: Now, understand the problem? Solve this instance: وهذا أفلاطون وديكارت ونيتشه وبيل كلينتون. Student:
É dicir, Platón, Descartes, Nietzsche e Joel Clinton.
6
NIv2
task1105_ted_translation_ar_gl
zs_opt
[ -0.9776906967163086, 0.676292896270752, 0.23060503602027893, -1.0316040515899658, -0.8516288995742798, -0.6387025713920593, 1.139944076538086, 0.11017850041389465, 0.284273624420166, -0.588179349899292, 0.3993423581123352, 0.7062456607818604, -0.9489116668701172, -0.015216460451483727, 0...
In this task, you are given two sentences in the English language and your task is to classify them into one of their discourse types. A discourse type is an indicator to classify the given two sentences on the basis of a co-text as well as a relevant context. There are 13 discourse types in total which are 'SINGLE_S_C...
SINGLE_CATAPHORA
6
NIv2
task564_discofuse_classification
fs_opt
[ 0.672706127166748, 0.23643715679645538, -0.3045142889022827, 0.15704023838043213, -0.540921688079834, -0.7615950703620911, 0.5113188624382019, 0.9319544434547424, -0.09424188733100891, -0.15766113996505737, -0.05791051685810089, -0.29041823744773865, 0.01802664063870907, -0.150978147983551...
Detailed Instructions: Write a correct answer to the given question based on its associated fact. Make sure that your answer is contained in the associated fact. Don't be creative and introduce any new word that is not mentioned in the associated fact! Remember that the associated fact has been rearranged to form the q...
is black.
9
NIv2
task041_qasc_answer_generation
zs_opt
[ 0.647614598274231, 0.8086655139923096, -0.247087761759758, -0.34070324897766113, -0.3457915186882019, -1.1192035675048828, 0.7133010029792786, 0.22788108885288239, 0.7446764707565308, -0.11470717191696167, -0.2660418748855591, 0.5657600164413452, -0.4615918695926666, 0.6268699169158936, ...
A text is given in English. Translate it from the English language to the Marathi language. The translation must not omit or add information to the original sentence. Q: I would also like to say that India will complete 75 years of its independence in 2022. A: या सोबतच मी हे देखील सांगू इच्छितो की, 2022 मध्ये भारताच्...
सुखदेव प्रसाद ****
4
NIv2
task1085_pib_translation_english_marathi
fs_opt
[ -0.2532964050769806, 0.9952501654624939, 0.2650330662727356, -0.28652942180633545, 0.13339784741401672, -0.7701748609542847, 0.6469129920005798, 0.7279269099235535, 0.398109495639801, 0.034223541617393494, -0.42138946056365967, 0.5286226272583008, -0.5717004537582397, 0.14947277307510376, ...
Given an abstract, and a few options, indicate if any of the given options appropriately describe the given abstract. If any of them is a proper keyword, answer 'Yes', otherwise answer 'No'. Q: Abstract: Colloidal gold solutions conjugated with staphylococcal protein A (SpA) are widely used in high-resolution immunocyt...
No
4
NIv2
task623_ohsumed_yes_no_answer_generation
zs_opt
[ -0.7515076994895935, 0.5360406637191772, -0.5930496454238892, -0.27160924673080444, -0.12819993495941162, -0.4347974359989166, -0.022349216043949127, 1.301395297050476, 0.3046998977661133, 0.25818687677383423, -0.5652005672454834, 0.9741254448890686, -0.41595733165740967, -0.07528898864984...
Detailed Instructions: In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is...
Yes
8
NIv2
task426_hindienglish_corpora_hi-en_classification
zs_opt
[ -0.8235267400741577, 0.737810492515564, 0.4338628053665161, 0.18273583054542542, 0.2619582414627075, 0.046873293817043304, 0.6645312905311584, 0.5664302110671997, 0.020198922604322433, -0.31092098355293274, -0.028044410049915314, 0.18068623542785645, -0.7254425287246704, 0.1043199971318245...
You will be given a definition of a task first, then some input of the task. In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of logical operations) from given natural languag...
eq { hop { argmax { all_rows ; race 2 ( pts ) } ; country } ; france }
1
NIv2
task210_logic2text_structured_text_generation
zs_opt
[ 0.4074852466583252, -0.037712741643190384, -0.29832690954208374, 0.7355218529701233, 0.29813724756240845, -0.21845364570617676, 0.5557861328125, 0.5458564758300781, -0.04095463454723358, -0.05806344747543335, -0.36710092425346375, 0.004539732821285725, -0.010061172768473625, 0.605142354965...
The task is to write a full sentence or two using all of the information given. The sentence(s) will be a brief review of a restaurant. Use all of the information provided. Example input: name[xname], cuisine[Fast Food], rating[average], familyFriendly[yes], near[xnear] Example output: Located near xnear, xname serves...
Because xname provides good decor, satisfying service and nice food. It is in Midtown West and it is an Indian place, it is the best restaurant.
3
NIv2
task1598_nyc_long_text_generation
fs_opt
[ -0.527134895324707, 0.8834130764007568, -0.7571244835853577, -0.2538284957408905, -0.6726382374763489, -0.2788955271244049, 0.7186191082000732, 0.5398712754249573, 0.16148072481155396, -0.6171789169311523, 0.4180223345756531, -0.13597372174263, -0.47387799620628357, -0.03804673254489899, ...
You are given a sentence, a question and two answer options. Your task is to write down the index ('A' or 'B') of the **incorrect** option for the given question. [EX Q]: Sentence: The mass of Mars is less than the mass of Neptune. Question: If a brick is dropped from 1 mile up on each planet, where will it fall the f...
A
6
NIv2
task1381_quarel_incorrect_option_generation
fs_opt
[ 0.4349641799926758, 0.8174817562103271, -0.3822452425956726, -0.03284837678074837, 0.09670168161392212, -0.42705264687538147, 0.09365615248680115, 0.976309597492218, 0.0882544070482254, 0.9922161102294922, -0.40692785382270813, 0.6376028060913086, -0.16152986884117126, -0.24228447675704956...
Teacher:You are given a sentence in English. Your job is to translate the English sentence into Polish. Teacher: Now, understand the problem? Solve this instance: If you have a principle such as, people shouldn't suffer unless they're guilty of something, then to exclude black people you've got to make exceptions, don'...
Jeśli wyznajecie zasadę, że ludzie nie powinni niewinnie cierpieć, to żeby wykluczyć czarnych, musielibyście stworzyć wyjątki.
6
NIv2
task1092_ted_translation_en_pl
zs_opt
[ -0.49070629477500916, 0.022292695939540863, 0.570132851600647, -0.7532281875610352, -0.1431480050086975, -1.0594068765640259, 0.5508856773376465, -0.1758723258972168, -0.12414820492267609, 0.26293808221817017, 0.4067468047142029, -0.49593234062194824, -0.3276126980781555, -0.22127853333950...
In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephone, travel, v...
Y
8
NIv2
task204_mnli_same_genre_classification
fs_opt
[ -0.6518110632896423, 0.31347620487213135, 0.25975263118743896, -0.45574772357940674, -0.01938207633793354, 0.16834180057048798, -0.16227313876152039, 0.7477283477783203, 0.23634405434131622, 0.014900426380336285, -0.6127176880836487, 0.16749811172485352, -0.4855905771255493, -0.04628168419...
You will be given a definition of a task first, then some input of the task. In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating yo...
b
1
NIv2
task214_rocstories_incorrect_ending_classification
zs_opt
[ -0.3872005343437195, 0.514839768409729, 0.4256840646266937, 0.35114786028862, 0.0812050998210907, 0.35103362798690796, 0.5217087268829346, 1.0215026140213013, -0.08389624953269958, 0.3068135976791382, -0.5230589509010315, -0.7464761137962341, 0.18518111109733582, -0.1554529070854187, -0....
In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence should preserve the number as it is and it should be in se...
Yes
9
NIv2
task426_hindienglish_corpora_hi-en_classification
fs_opt
[ -0.12087784707546234, 0.008686171844601631, 0.8947784900665283, 0.5489317774772644, 0.7613493204116821, -0.5405974388122559, -0.4666810631752014, 0.7878105044364929, -0.5263825058937073, -0.1549309492111206, -0.7549631595611572, -0.1291370987892151, -0.2590152621269226, 0.0445636585354805,...
You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish. [EX Q]: Abbiamo lavorato per democratizzare il Lincoln Center per un pubblico che di solito non dispone di 300 dollari per un biglietto dell'opera. [EX A]: Pracowalismy nad demokratyzacją Lincoln Center. Otwarciem go dla lu...
Zagadnienie związku umysłu z ciałem jest tak proste.
6
NIv2
task1253_ted_translation_it_pl
fs_opt
[ -0.8810099363327026, -0.1291864961385727, -0.3860861659049988, 0.325623095035553, -0.5420238375663757, -0.5038275718688965, 0.27449142932891846, 0.5832611322402954, 0.6900364756584167, -0.2783924639225006, -0.23793655633926392, 0.13311955332756042, -0.20825646817684174, 1.0416522026062012,...
Detailed Instructions: In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. I...
d
8
NIv2
task231_iirc_link_classification
zs_opt
[ 0.35627463459968567, 0.9859999418258667, -0.7531462907791138, -0.3294929265975952, 0.1749427169561386, -0.17132189869880676, 0.7648162841796875, 0.6886597275733948, -0.20951581001281738, 0.709998607635498, -0.12024680525064468, 0.9508929252624512, -0.6968398094177246, -0.03660786151885986,...
Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect). Example Input: तो अंदर जाओ. Example Output: Then go inside. Example Input: एक ही स्थान में रहकर लोग छोटे-बड़े हो जाते हैं; यही मेरे साथ हुआ है. Example O...
Father's home.
3
NIv2
task1323_open_subtitles_hi_en_translation
fs_opt
[ -0.12275700271129608, 0.912969708442688, -0.19024991989135742, 0.568904459476471, 0.18439731001853943, -0.9131683707237244, -0.1560754030942917, 0.7557421326637268, -0.5660017728805542, -0.04183183237910271, -0.3568952679634094, 0.6235204935073853, -0.4765533208847046, -0.35318905115127563...
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be found ...
the maid of honor
4
NIv2
task164_mcscript_question_answering_text
zs_opt
[ -0.1808219701051712, 0.9263764023780823, -0.6563615798950195, -0.2010497748851776, -0.15046171844005585, -0.571819543838501, 0.27188390493392944, 0.4426257312297821, 0.7347189784049988, 0.7253467440605164, -0.22107553482055664, -0.15513041615486145, -0.20145747065544128, 0.1398286074399948...
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. Your answer should be chosen from the given text, and should not contain other words. Q: Javier Esposito: Women . ...
Women
4
NIv2
task401_numeric_fused_head_reference
zs_opt
[ -0.02225172147154808, 0.17333364486694336, -0.1325758993625641, 0.13099506497383118, 0.2749312222003937, -0.17588122189044952, 0.9693215489387512, 0.8526754975318909, -0.012338345870375633, 0.40819618105888367, -0.10125301033258438, 0.17900964617729187, -1.012359857559204, 0.00095979217439...
In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no". -------- Question: Abstract: The management of women who have a genetic predisposition for breast cancer requires careful planning. Women ...
no
7
NIv2
task1587_scifact_classification
fs_opt
[ 0.16227440536022186, 0.38964420557022095, -0.46258533000946045, 0.09927569329738617, 1.0476200580596924, -0.4781813621520996, 0.15678726136684418, 1.182497262954712, 0.3142731487751007, 0.5047643184661865, -0.5315587520599365, 0.34056997299194336, -0.18523946404457092, 0.5015236735343933, ...
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them. A photo series on the popular Humans of New York Facebook page may have w...
Ahead of a visit from Attorney General Eric Holder today, officials in Ferguson, Missouri, say they want to make big changes to law enforcement and end the "discord and heartbreak" that has followed the police shooting of unarmed teenager Michael Brown. A statement released by city leaders says it is looking at changes...
0
NIv2
task1291_multi_news_summarization
fs_opt
[ 0.7021993398666382, 0.10056216269731522, -0.19782498478889465, -0.23359715938568115, 0.9997643828392029, -0.10957907140254974, 1.1875439882278442, 0.6865405440330505, -0.36750829219818115, 0.5455973148345947, 0.022713087499141693, 0.4617455005645752, -0.2750084400177002, 0.5425406694412231...
Instructions: A text is given in Hindi. Translate it from the Hindi language to the Urdu language. The translation must not omit or add information to the original sentence. Input: آئی این ایچ ایس، اسونی میں ملٹری سائکیاٹری ٹریٹمنٹ سینٹر کی تشکیل اور ممبئی، وشاکھاپٹنم، کوچی، پورٹ بلیئر، گووا اور کروار میں مینٹل ہیلتھ س...
आईएनएचएस अश्विनी में सैन्य मनोवैज्ञानिक उपचार केन्द्र का गठन और मुंबई, विशाखापत्तनम, कोच्चि, पोर्ट ब्लेयर, गोवा और कारवार में मानसिक स्वास्थ्य केन्द्रों की स्थापना।
3
NIv2
task1054_pib_translation_urdu_hindi
zs_opt
[ 0.2931819260120392, 0.686940610408783, 0.051572225987911224, -0.024939272552728653, 0.1355263590812683, -1.1550464630126953, -0.1918860673904419, 0.015673842281103134, 0.33664414286613464, 0.31059759855270386, -0.2621572017669678, -0.14118707180023193, -0.31370216608047485, 0.2066025435924...
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no". [EX Q]: Review: From the awful death scenes to guns that fire with...
yes
6
NIv2
task285_imdb_answer_generation
fs_opt
[ -0.06697019934654236, 0.04148787260055542, -0.48701927065849304, -0.08768202364444733, 0.8031961917877197, -0.7063442468643188, 0.6153428554534912, 1.0696085691452026, -0.2768572270870209, 0.28773096203804016, 0.13750264048576355, 0.18128296732902527, -0.2906447947025299, 0.439684748649597...
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command....
I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WALK I_TURN_LEFT I_WA...
9
NIv2
task130_scan_structured_text_generation_command_action_long
fs_opt
[ 0.12941643595695496, 0.6043601036071777, -0.3606595993041992, 0.015606488101184368, 0.06062048673629761, -0.12889425456523895, 0.3107677698135376, 0.06646674871444702, -0.17689622938632965, -0.30012089014053345, -0.8389409780502319, -0.36718177795410156, -0.7323319911956787, -0.15143623948...
Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate either Comple...
Completion B
0
NIv2
task156_codah_classification_adversarial
fs_opt
[ 0.7845471501350403, 0.6572568416595459, -0.534386157989502, -0.4054132103919983, -0.5148513317108154, -0.8917326927185059, 0.6858747005462646, 0.6997334957122803, 0.275208055973053, -0.42457133531570435, -0.5544565916061401, 0.26786550879478455, -0.08511818945407867, -0.6158487796783447, ...
Given a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is. ເດີ ສະປີຣິຕ ໄດ້ຮັບປະຕູເຊັ່ນດຽວກັນ ເຮັດໂດຍ ຜູ້ຮັກສາປະຕູ ປາທຣິກ ແມັກແນລ.
スピリットも、ディフェンスマンのパトリック・マクニールにより1ゴールを入れた。
0
NIv2
task1125_alt_lo_ja_translation
zs_opt
[ -0.38529878854751587, 0.03871312737464905, -0.8183577656745911, -0.23459425568580627, -0.263725221157074, -0.362514466047287, 0.8174059987068176, -0.3052207827568054, -0.03625112026929855, -0.28273364901542664, -0.08591772615909576, 0.552778959274292, -1.8865190744400024, 0.394135177135467...
Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew. Input: 人類には加速していく変化が必要なのです Output:
אנו זקוקים לשינוי שיצבור תאוצה.
2
NIv2
task1225_ted_translation_ja_he
zs_opt
[ -0.49591466784477234, 0.01722925528883934, -0.20005202293395996, -0.23072433471679688, -0.21076318621635437, 0.35104960203170776, 0.5719565153121948, -0.2543891370296478, 0.47500866651535034, -0.9036929607391357, -0.6759354472160339, -0.7050170302391052, -0.503719687461853, 0.0866820588707...
In this task, you are given a question and a corresponding answer. Your task is to generate a fact statement that is useful in answering the given question. Question: the ring of fire is made up of? Answer: immersed lava vents. volcanoes are often found under oceans Question: A ball is tossed to a person who misses i...
usually plants die or become dormant during the winter
0
NIv2
task1401_obqa_sentence_generation
fs_opt
[ 0.6018697023391724, 0.4657425284385681, -0.6620895862579346, 0.27835503220558167, -0.18299880623817444, -0.9937748312950134, 0.7771707773208618, 0.08415381610393524, -0.6009699106216431, -0.2595832347869873, -0.2700875699520111, -0.31831488013267517, -1.0692540407180786, 0.7426185607910156...
Q: In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3. [-17, -1, 41, -22, -74, -77, -11, 81, 65, 65, 58] A:
[-17, -1, 41, -22, -74, -77, -11, 65, 65, 58]
7
NIv2
task370_synthetic_remove_divisible_by_3
zs_opt
[ -0.19945555925369263, -0.3469051420688629, -0.4930797815322876, -0.7140711545944214, 0.3912864923477173, 0.14879080653190613, 1.2960724830627441, 0.3322705328464508, -0.3651010990142822, -0.050834111869335175, -0.507190465927124, 0.3467608094215393, -0.3494933247566223, -0.3871660530567169...
Instructions: Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is. Input: หัวข้อการประชุมคือ "สร้างแบรนด์ให้ประเทศ: การสร้างชื่อเสียงจากภายใน" และพิธีเปิดการประชุมครั้งนี้ถูกจัดขึ้นโดยแบรนด์ อะคาเดมี ซึ่...
会議のテーマは「国を印象づける、内部の評判を得る」であり、境界を越える会議の開会式は、ルーマニアで初めてブランド教育を専門にするブランド協会で執り行われた。
3
NIv2
task1128_alt_th_ja_translation
zs_opt
[ 0.4324808716773987, 0.027716612443327904, -0.04428752511739731, 0.03454992175102234, -0.3351917862892151, -0.649815559387207, 0.22641338407993317, 0.6506528258323669, 0.34795624017715454, 0.40907996892929077, -0.027234233915805817, 0.5116182565689087, -0.9107847213745117, 0.173216164112091...
In this task, you are provided with an article about the legal acts. Your task is to generate a headline for that article. -------- Question: 1. Article 17 of Regulation (EEC) No 805/68 is repealed.2. A new Article 22a is inserted in Regulation (EEC) No 805/68 as follows:'1. When a substantial rise or fall in prices is...
Regulation amending the Annex to Regulation (EEC) No 1098/68 on detailed rules for the application of export refunds on milk and milk products
7
NIv2
task743_eurlex_summarization
fs_opt
[ 0.4847806692123413, -0.49525731801986694, -0.17916075885295868, 0.382261723279953, 0.6472645401954651, -0.6820127964019775, 0.23448315262794495, 1.0617254972457886, -0.6570612192153931, 0.32227230072021484, -0.734504759311676, 0.3307189345359802, -0.6164742708206177, -0.0364035964012146, ...
This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence an...
[['Midsummer House', 'eatType', 'restaurant'], ['Midsummer House', 'food', 'Indian'], ['Midsummer House', 'priceRange', 'high'], ['Midsummer House', 'customer rating', 'average'], ['Midsummer House', 'near', 'All Bar One']]
9
NIv2
task1410_dart_relationship_extraction
fs_opt
[ -0.3024561107158661, 0.16250808537006378, -0.8706924915313721, -0.11626313626766205, -0.5571349859237671, -0.42598944902420044, -0.3086525499820709, 0.435060977935791, 0.3187623620033264, -0.07544884085655212, -0.11678847670555115, -0.15392503142356873, -0.11358059197664261, 0.498623549938...
Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Portugese. Input: CA: それで、風車はうまく動いたの ? Output:
CA: E então, esse moinho de vento, o que é que — funcionou?
2
NIv2
task1099_ted_translation_ja_pt
zs_opt
[ 0.28397804498672485, 0.20734438300132751, -0.6211109757423401, 0.0848076194524765, -0.16497547924518585, -0.7931003570556641, -0.3108574151992798, 0.8487497568130493, 0.1507689654827118, 0.03422170132398605, -0.7858788967132568, -0.153108149766922, 0.19492608308792114, 0.2835003137588501, ...
In this task, you are given a review of product in Polish language and a question whether this review has positive sentiment. You are expected to generate the answer. The output should be "Yes" or "No". Don't generate anything apart from "Yes", "No". Example: Text: Biję się z myślami czy oby 2 gwiazdki to nie za dużo. ...
Solution: No
5
NIv2
task635_allegro_reviews_answer_generation
fs_opt
[ -0.6501680612564087, 0.22111870348453522, 0.10533221065998077, 0.050962895154953, -0.06860911846160889, -0.8363523483276367, 0.9685519337654114, 0.9604924917221069, -0.04401838779449463, 0.5014208555221558, 0.0811605304479599, 0.611224889755249, -0.23115748167037964, 0.3505857586860657, ...
Given the task definition, example input & output, solve the new input case. In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numer...
0
1
NIv2
task606_sum_of_all_numbers_in_list_between_positions_i_and_j
fs_opt
[ -0.118187814950943, 0.41577404737472534, -0.6239531636238098, -0.634131133556366, -0.03352641686797142, 0.2064419984817505, 0.052922677248716354, 0.49105405807495117, -0.527040958404541, -0.3441670835018158, -0.7534206509590149, 0.10789375752210617, 0.4104563295841217, -0.47836899757385254...
Teacher: In this task, you need to count the number of words in a sentence that contain the given letter Teacher: Now, understand the problem? If you are still confused, see the following example: Sentence: 'two gray birds standing in a green field'. How many words contain the letter 'a' in the sentence. Solution: 3 Re...
3
2
NIv2
task161_count_words_containing_letter
fs_opt
[ -0.5675268769264221, 0.19813378155231476, -0.262420654296875, -1.2297148704528809, -0.28041011095046997, 0.020451363176107407, -0.0463080108165741, 0.43728071451187134, 0.2285294234752655, -0.5148069262504578, -0.5294360518455505, -0.009121743030846119, -0.17946694791316986, -0.22664269804...
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to write the character's motivation by doing a specific job, which is given in the sentence. Y...
None
1
NIv2
task294_storycommonsense_motiv_text_generation
fs_opt
[ 0.033411815762519836, 0.4460931718349457, -0.7911635637283325, -0.2792593836784363, -0.2729732394218445, -0.3198961317539215, 0.9363747835159302, 0.5940698385238647, 0.17536920309066772, -0.11256773769855499, -0.2283037155866623, -0.2878967821598053, -0.272186279296875, -0.1518740355968475...
Given the task definition and input, reply with output. In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase. Article...
The young man went to the doctor because _ .
5
NIv2
task649_race_blank_question_generation
zs_opt
[ 0.062068257480859756, 0.6330647468566895, -0.4258360266685486, -0.24946856498718262, 0.27593398094177246, -0.38219383358955383, 0.7684026956558228, 0.4312187135219574, 0.6759042739868164, -0.3648342788219452, -0.6514383554458618, -0.13890311121940613, -0.39006754755973816, 0.49497225880622...
You will be given a definition of a task first, then some input of the task. In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is...
[201, 300]
1
NIv2
task374_synthetic_pos_or_neg_calculation
zs_opt
[ -0.6297428011894226, 0.3399316072463989, -0.26075977087020874, -0.03701113909482956, 0.3793330192565918, -0.06036539375782013, 1.0950188636779785, 0.23023323714733124, -0.04332714155316353, 0.39773720502853394, -0.2520795464515686, 0.17478394508361816, -0.26347362995147705, -0.315565437078...
You will be given a definition of a task first, then some input of the task. Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal. Endothelial activation l...
0
1
NIv2
task848_pubmedqa_classification
zs_opt
[ 0.8184058666229248, 0.14233678579330444, -0.6855326890945435, 0.6988698840141296, 0.3816458582878113, -0.7314338684082031, 0.06387472152709961, 0.6039993166923523, -0.3120771050453186, 0.25693705677986145, -0.5410016775131226, -0.9949235916137695, -0.4861815571784973, 0.10723818838596344, ...
Given a sentence in Italian, generate a new Italian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b...
Solution: Se si desidera girare un contratto allora si dovrebbe trovare una penna.
5
NIv2
task408_mickey_it_sentence_perturbation_generation
fs_opt
[ -0.280126690864563, 0.39100733399391174, -0.14856739342212677, 0.32287582755088806, -0.2554619312286377, -0.7787606716156006, 0.42621952295303345, 1.2799513339996338, 0.019644619897007942, -0.18662452697753906, -0.708721935749054, 0.18737567961215973, -0.338930606842041, 0.1668530404567718...
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ...
walk twice after jump opposite left thrice
6
NIv2
task129_scan_long_text_generation_action_command_short
fs_opt
[ 0.23856139183044434, 0.5383630394935608, -0.4199303090572357, 0.07122135162353516, -0.004633386619389057, 0.45260798931121826, 0.2396078109741211, 0.8684688806533813, -0.4341714680194855, -0.1262095868587494, -0.7545925378799438, -0.6255396604537964, -0.760288417339325, -0.20559161901474, ...
In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice as ...
b
5
NIv2
task231_iirc_link_classification
fs_opt
[ -0.35695087909698486, -0.11535985767841339, -0.31333446502685547, -0.1840139925479889, 0.09338029474020004, 0.3124749958515167, 0.5129822492599487, 0.5839223861694336, -0.28889623284339905, 0.38042283058166504, -0.45061177015304565, 0.21106229722499847, -0.41570916771888733, 0.240408241748...
TASK DEFINITION: In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining. PROBLEM: claim: It is time to stop buying bott...
support
8
NIv2
task738_perspectrum_classification
fs_opt
[ -0.0037009413354098797, 0.6410039067268372, 0.13018739223480225, -0.2862265110015869, -0.23672208189964294, -0.599609375, 1.2732148170471191, 0.47361063957214355, 0.7479910254478455, 0.1688360869884491, -0.031169500201940536, -0.34969350695610046, -0.428367018699646, 0.42978477478027344, ...
You will be given a definition of a task first, then some input of the task. In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun)...
Fundamental changes will also be considered for the technical assistance offices.
1
NIv2
task312_europarl_sv_en_translation
zs_opt
[ -0.4581828713417053, 0.5553466081619263, 0.5223211646080017, -0.5509783625602722, 0.6433082818984985, -0.1933649182319641, 0.987284779548645, 0.4794066250324249, 0.43569085001945496, 0.27820825576782227, 0.15962377190589905, 0.10837260633707047, -0.2124088853597641, -0.11502134799957275, ...
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Tweet: I wanna try pot brownies. Label: Offensive false Tweet: &#127867;&#127867;&#12786...
false
0
NIv2
task905_hate_speech_offensive_classification
fs_opt
[ -1.5917471647262573, 0.36701831221580505, 0.9862110614776611, 0.5001294612884521, -0.344210684299469, -1.0821130275726318, -0.07692286372184753, 0.5076271295547485, 0.1695120930671692, 0.19397112727165222, -0.05930830538272858, -0.7091009616851807, -0.6582112908363342, -0.7393799424171448,...
In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the resulting ...
Solution: gn5014ml5673
5
NIv2
task267_concatenate_and_reverse_all_elements_from_index_i_to_j
fs_opt
[ 0.015901854261755943, 0.09097643196582794, -0.2763728201389313, -0.4698873460292816, -0.0431140661239624, -0.10985308885574341, 0.42137837409973145, 0.1422846019268036, -0.5983831286430359, 0.11323978751897812, -1.3718286752700806, -0.002998684300109744, 0.05833406746387482, -0.34218034148...
In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") should be returned. ...
[191, 79, 347, 593]
8
NIv2
task366_synthetic_return_primes
fs_opt
[ -0.558327853679657, 0.33807146549224854, -0.30418887734413147, -0.5880798101425171, 0.1022566705942154, -0.1577012687921524, 0.8813746571540833, 0.7182241678237915, -0.3180311918258667, 0.3827768564224243, -1.2804083824157715, -0.5139020681381226, -0.4137314558029175, -0.28116583824157715,...
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese. One example: אחרי הכל, הם החליטו, והם עשו, Solution is here: Afinal de contas elas é que decidem, e decidiram mesmo. Explanation: The Hebrew sentence is correctly translated into Portugese, because the meaning is preserved....
Isso é certamente verdade para a maioria da pré-história humana.
6
NIv2
task1114_ted_translation_he_pt
fs_opt
[ -0.10935255885124207, 0.8854818940162659, 0.2817317247390747, 0.3925836980342865, -0.6876145601272583, -1.0450927019119263, 0.6580248475074768, 0.37754279375076294, 0.5459132790565491, -0.4473678469657898, -0.6083090901374817, 0.4550843834877014, -0.5453027486801147, 0.05950586870312691, ...
In this task, you will be shown a conversation and a question. You need to write an implausible answer to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. "W" and "M" in the conversations stand for "woman" and "man". [Q]: F: Excuse me, do you know how to use this machin...
It should be revised.
5
NIv2
task283_dream_incorrect_answer_generation
fs_opt
[ 0.25576338171958923, 0.6799138784408569, -0.8816244602203369, 0.13477487862110138, 0.4260282516479492, -0.032011594623327255, 0.30699849128723145, 1.1082720756530762, -0.11540243029594421, 0.03563534468412399, -0.32792264223098755, -0.24298766255378723, 0.2551408112049103, 0.24805419147014...
This task is to translate a news commentary statement given in German language into Spanish language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done. Letztlich problematisch ist nicht die Mission des ...
Esta conclusión no se debe perder de vista en las economías de alto vuelo de los mercados emergentes, especialmente en Asia, que es en la actualidad la región mundial de mayor crecimiento y que impulsa lo que muchos llaman un mundo "de dos velocidades".
0
NIv2
task1373_newscomm_translation
fs_opt
[ -0.27892547845840454, 0.5781688094139099, 0.13550591468811035, -0.025059198960661888, 0.42298007011413574, 0.6068928837776184, 0.5699416399002075, 0.7957653999328613, -0.31694477796554565, 0.3410508632659912, -0.3331463932991028, 0.6677375435829163, -0.09105271100997925, -0.211467593908309...
Instructions: In this task, you are given music product reviews in French language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative. Input: en dessous de tout . Désolant, encore un cd qui va finir au placard d'...
NEG
3
NIv2
task484_cls_french_music_classification
zs_opt
[ -0.60785973072052, 0.26316097378730774, -0.2914360761642456, 0.10358978062868118, 0.4806824028491974, -0.35151588916778564, 0.6040995121002197, 0.1774299144744873, -0.1257971227169037, 0.8270391225814819, -0.8247008323669434, -0.7518872022628784, 0.5117987394332886, -0.6071992516517639, ...
You will be given a definition of a task first, then some input of the task. Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is. アイルハヴアナザーはケンタッキー・ダービーでもプリークネス・ステークスでも人気馬ではなかったが、しかし、これら両方のレースで規範的な馬で...
សេះអាយហេវអឹណាដឺមិនមែនជាចំនាប់អារម្មណ៍នៅក្នុងការប្រកួតខេនទុគីដឺប៊ី និង ការប្រកួតព្រីកនេសស្តេកឡើយ ប៉ុន្តែវាបានវ៉ាឈ្នះពីរដងសេះនាំមុខឈ្មោះបូតមេស្តឺ ដែលជាសេះកំនត់ល្បឿននៅក្នុងការប្រកួតទាំងពីរលើក ហើយវាបានទទួលជ័យលាភី។
1
NIv2
task1121_alt_ja_khm_translation
zs_opt
[ -0.18139143288135529, -0.16547322273254395, 0.22237847745418549, -0.2847156822681427, -0.1728215515613556, -0.42611849308013916, 0.8791742324829102, 0.07818754017353058, -0.19090799987316132, -0.1835326850414276, -1.387639045715332, 0.3286060690879822, -0.9466491937637329, 0.58663737773895...
Detailed Instructions: In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]...
[577, 307, 607, 11]
9
NIv2
task366_synthetic_return_primes
zs_opt
[ -0.48131227493286133, 0.52878338098526, -0.1083652675151825, -0.5001229643821716, -0.0790897011756897, -0.22178861498832703, 0.9061760902404785, 0.52387934923172, -0.05324900895357132, 0.21477645635604858, -0.9053300619125366, -0.5613359212875366, -0.5882995128631592, 0.046762168407440186,...
In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time. One example: A herd of sheep standing together grazing ...
Gujarati
6
NIv2
task441_eng_guj_parallel_corpus_gu-en_language_identification
fs_opt
[ -0.7511627078056335, -0.17118766903877258, 0.787308931350708, -0.28855523467063904, -0.09363439679145813, -0.5629786252975464, -0.10112085938453674, -0.045217182487249374, -0.005474553443491459, -0.6419962644577026, -0.6941591501235962, -0.000008665374480187893, -0.11417554318904877, -0.10...
In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill. Free Market Grazing Fees Act - Directs the Secretaries of Agriculture and the Interior to establish fair ...
Free Market Grazing Fees Act
0
NIv2
task1659_title_generation
zs_opt
[ -1.088855504989624, -0.0031927248928695917, -0.13247549533843994, 0.30504900217056274, 0.2755119800567627, -0.5265063047409058, 0.43350309133529663, 0.9498252868652344, -1.0549144744873047, 0.34508439898490906, -0.21607738733291626, -0.037536248564720154, -0.4599228501319885, -0.0576790757...
Given the task definition and input, reply with output. You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese. Jako prawnik zacząłem zajmować się ochroną zwierząt.
E comecei a trabalhar como advogado protetor dos animais.
5
NIv2
task1264_ted_translation_pl_pt
zs_opt
[ -0.678139865398407, 1.0411076545715332, -0.07416689395904541, -0.44516605138778687, -0.9307061433792114, -0.39183762669563293, -0.18017256259918213, 0.3852638006210327, 0.4189360737800598, -0.4168391823768616, -0.43574389815330505, 0.433742880821228, -1.1244335174560547, -0.109473817050457...
In this task, you need to replace a letter in the sentence with another given letter. [EX Q]: Sentence: 'bags of seeds with a pair of black scissors sitting on them'. Replace the letter 'b' with 'y' in the sentence. [EX A]: yags of seeds with a pair of ylack scissors sitting on them [EX Q]: Sentence: 'a mouse and key...
a bed with a piooow and oights on a corner
6
NIv2
task160_replace_letter_in_a_sentence
fs_opt
[ -0.5761431455612183, 0.5470488667488098, -0.6192371845245361, -1.1548644304275513, 0.1171201542019844, -0.5254194736480713, 0.3019915223121643, 0.3773559331893921, 0.242533877491951, -0.5922955274581909, -0.03540915623307228, 0.5539058446884155, -0.1461658775806427, 0.3662034273147583, 0...
Detailed Instructions: In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first w...
- Parliamentary battle in Beirut <B-LOC> ..
4
NIv2
task610_conllpp_ner
fs_opt
[ 0.4342748522758484, -0.28866034746170044, 0.0026573967188596725, 0.5843250155448914, 0.21019677817821503, -0.5194602608680725, 0.3165331780910492, 0.9051487445831299, -0.4725715219974518, 0.19667953252792358, -0.41057854890823364, 0.4042336940765381, -0.3170064687728882, 0.5610678195953369...
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A. 3, ['1201', 'A', '3547', '735', 'q', 'b', 'O', '567', '6603', 'A', 'M', 'C', '7289', 'V', '2867', '2989', 'F']
735, q, b, O, 567, 6603, A, M, C, 7289, V, 2867, 2989, F
0
NIv2
task064_all_elements_except_first_i
zs_opt
[ 0.1531251221895218, 0.2988147735595703, -0.5384765863418579, -0.8930362462997437, -0.323751300573349, -0.11664773523807526, 0.5693024396896362, -0.20500054955482483, -0.6194299459457397, -0.6880974173545837, -1.031677007675171, -0.002650066278874874, 0.5364233255386353, -0.5590171813964844...
Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi. E por un tempo estudamos os prados de Minnesota, onde realmente hai unha proporción moi elevada de centenarios. A:
و ما برای یک مدت به چمنزارهای مینسوتا توجه کردیم جایی که در واقع صد ساله ها یک کسر خیلی بزرگ را تشکیل می دهند
7
NIv2
task1245_ted_translation_gl_fa
zs_opt
[ -0.5046361684799194, 0.3243672251701355, -0.5359552502632141, -0.6098132133483887, -0.4911845922470093, -1.5741865634918213, -0.414173424243927, 0.46248751878738403, -0.07580433785915375, 0.6531257629394531, -0.43581467866897583, -0.06846548616886139, -0.4925394654273987, 0.564119815826416...
Teacher:In this task, you are given news articles and you need to generate a highlight, i.e., a short summary, with a maximum length of 10 lines. Teacher: Now, understand the problem? Solve this instance: (CNN) -- When the average person contemplates the issues surrounding landfills, it's doubtful they give much consid...
5 percent of American's leftovers could feed 4 million people for 1 day . Disposing of food waste costs the U.S. $1 billion a year . Rotting food releases methane, a more potent greenhouse gas than CO2 . Methane can be harnessed to create clean energy for heat, light and fuel .
6
NIv2
task1553_cnn_dailymail_summarization
zs_opt
[ 0.5036633014678955, 0.01204364188015461, -0.3806254267692566, -0.0774855688214302, 0.2390596568584442, -0.5401676297187805, 0.45046189427375793, 1.2955915927886963, -0.688661515712738, 0.45102405548095703, -0.12826889753341675, 0.2426280379295349, -0.3701440691947937, 0.5135962963104248, ...
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian. [Q]: Moja kucharka miała wnuki, a więc również dzieci, a więc opuszczała szkołę pod koniec dnia? [A]: La mia cameriera della mensa aveva dei nipoti, e quindi dei figli, e quindi usciva dalla mensa alla fine della giornata? ...
Vedete, mio padre è stato davvero un grande uomo in molti sensi.
5
NIv2
task1262_ted_translation_pl_it
fs_opt
[ -1.24580979347229, 1.1179182529449463, -0.6554755568504333, 0.05179695039987564, -1.2321754693984985, 0.02901945263147354, 0.6925704479217529, 0.8055631518363953, -0.21215589344501495, -0.5526803731918335, -0.24373190104961395, 0.7278138995170593, -0.4309977889060974, 0.05274185538291931, ...
Part 1. Definition Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that ser...
jump opposite right thrice after jump around right twice
7
NIv2
task127_scan_long_text_generation_action_command_all
fs_opt
[ 0.37524160742759705, 0.5066882967948914, -0.38579869270324707, -0.07526643574237823, 0.11586283147335052, 0.2806597650051117, 0.5771409273147583, 0.7691354751586914, -0.1399805247783661, -0.24576625227928162, -1.1417369842529297, -0.35695457458496094, -0.8091562986373901, -0.16018855571746...
Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not. So recently my girlfrien...
getting upset with my friend who said I didn't have any right to mourn her bfs death
0
NIv2
task500_scruples_anecdotes_title_generation
fs_opt
[ 0.7186060547828674, 0.15032774209976196, -0.3485856056213379, -0.6788605451583862, 0.9649791121482849, -0.16999822854995728, 0.84571373462677, 0.6035574674606323, 0.13692712783813477, 0.1695607602596283, 0.5180178284645081, 0.4244701564311981, -0.9399185180664062, -0.2687681317329407, -0...
instruction: You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish. question: Quindi una volta che si ha la gravità, ecco questo — aumento la velocità di un qualcosa, aumento la velocità della nave. answer: Una vez que tienes gravedad, aquí está; aumentar la velocidad por algo,...
Para darles una idea del lugar, esta es Carolina del Norte, y si nos acercamos, el condado de Bertie está al este del estado.
9
NIv2
task1249_ted_translation_it_es
fs_opt
[ -1.0841050148010254, 0.561559796333313, 0.2569102644920349, -0.16496415436267853, -0.5266084671020508, -0.6022833585739136, 0.43172475695610046, 1.1134533882141113, 0.2987058758735657, -0.7731003165245056, -0.5066988468170166, -0.09482908248901367, -0.553574800491333, 0.8564157485961914, ...
Teacher: In this task, you're given four sentences of a story written in natural language in which one part is missing. Your job is to predict the position and missing part of the story and return in the following format: position, missing part. The missing part is a sentence that completes the story, and the position ...
2, She was incredibly nervous.
2
NIv2
task299_storycloze_sentence_generation
fs_opt
[ -0.06292396783828735, 0.18958893418312073, -0.045618828386068344, -0.48942074179649353, 0.8687819242477417, -0.4351441264152527, 0.5760421752929688, 1.072421669960022, -0.19610197842121124, -0.023763202130794525, -0.27935999631881714, -0.3404131829738617, -0.5409702062606812, 0.19046819210...
You will be given a definition of a task first, then some input of the task. This task is to identify the language of a sentence correctly by classifying if it is English or Telugu శాశ్వతంగా IDM పగుళ్లు ఎలా Output:
Telugu
1
NIv2
task1618_cc_alligned_classify_tel_eng
zs_opt
[ -0.0038544058334082365, 0.3936627507209778, 0.7119126319885254, -0.38177913427352905, -0.06662601232528687, -0.8954644203186035, 0.4236234426498413, 0.019235460087656975, -0.022369422018527985, 0.3213408291339874, -0.576901912689209, -0.24480104446411133, -0.6109116077423096, 0.14737403392...
Detailed Instructions: A text is given in Hindi. Translate it from the Hindi language to the Marathi language. The translation must not omit or add information to the original sentence. Q: या संग्रहालयासाठी 1 फेब्रुवारी 2019 पासून लागू होणारे प्रवेश शुल्‍क खालील प्रमाणेः A:
1 फरवरी 2019 से संग्रहालय के लिए टिकट की कीमत इस प्रकार होगीः
9
NIv2
task1082_pib_translation_marathi_hindi
zs_opt
[ -0.22582057118415833, 0.09022282063961029, -0.020660720765590668, 0.7156553268432617, 0.11745158582925797, -1.059342622756958, 0.3019867241382599, 0.47524285316467285, 0.38540026545524597, -0.38437288999557495, 0.3464030623435974, -0.6367160081863403, 0.14501437544822693, 0.595845460891723...
Q: Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an event? B....
Why would my daughter 's phone be beat up ?
7
NIv2
task023_cosmosqa_question_generation
zs_opt
[ 0.584527850151062, 0.398224413394928, -0.8821370601654053, -0.08341983705759048, -0.23489242792129517, -0.055020324885845184, 0.11707115173339844, 1.142975091934204, 0.050423115491867065, 0.24302732944488525, -0.5112653970718384, 0.3558059632778168, -0.44589346647262573, 0.1414507031440735...
You will be given a definition of a task first, then some input of the task. You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish. Muitas foram demolidas na época do acidente, mas algumas foram deixadas como esta, como um vestígio silencioso da tragédia. Output:
Muchas fueron derribadas en el momento del accidente, pero otras quedaron así, como silenciosos vestigios de la tragedia.
1
NIv2
task1276_ted_translation_pt_es
zs_opt
[ -0.27074921131134033, 0.5907994508743286, 0.3113866150379181, -0.1735409051179886, 0.22619515657424927, 0.11537589877843857, 0.905693769454956, 1.3033778667449951, 0.3096848726272583, -0.06312207132577896, -0.40403151512145996, -0.17347319424152374, -0.059142712503671646, 0.826787233352661...
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian. See one example below: Problem: (Śmiech) Opublikował wiele filmów o przyrodzie. Solution: (Risate) E infatti aveva già pubblicato tanti video sulla natura. Explanation: The Polish sentence is correctly ...
Sto indossando una piccola tecnologia che chiamiamo Shimmer.
4
NIv2
task1262_ted_translation_pl_it
fs_opt
[ -1.2187435626983643, 0.5860603451728821, -0.4810195863246918, -0.3271578550338745, -0.6004772186279297, -0.2614530324935913, 0.34629854559898376, 0.09711185097694397, -0.17971879243850708, -0.47351062297821045, -0.5262719392776489, 0.673484206199646, -0.7138775587081909, 0.4540522694587707...
You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish. One example is below. Q: (Risate) E infatti aveva già pubblicato tanti video sulla natura. A: (Śmiech) Opublikował wiele filmów o przyrodzie. Rationale: The Italian sentence is correctly translated into Polish, because the m...
Byłem w grupie, która wspięła się nań jako pierwsza w 2006.
9
NIv2
task1253_ted_translation_it_pl
fs_opt
[ -0.5832422971725464, 0.797576904296875, 0.02502138540148735, 0.1450117826461792, -0.8617512583732605, -0.5877774357795715, 0.4881201386451721, 0.056240975856781006, -0.3628641963005066, -0.49643510580062866, -0.5854560136795044, 0.34619778394699097, -0.7117814421653748, 0.23511242866516113...
In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent's response is an answer to the user's questions or follo...
Solution: agent
5
NIv2
task1599_smcalflow_classification
fs_opt
[ -0.12025277316570282, 0.24533957242965698, -0.16313230991363525, -0.14814293384552002, 0.07958485186100006, -0.18957091867923737, 0.3737756907939911, -0.11531956493854523, 0.157536119222641, 0.10963855683803558, -0.31556496024131775, 0.0019067514222115278, -0.7897735238075256, 0.3230170011...
instruction: In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct. question: Dataphone Digital Service (AT&T) answer: Inkonzo yamanani efowuni yogcino-lwazi (AT&T) question: Yellow with yellow diagonal cro...
Ezi zenziwa ngesithandathu esinesantya sokuqala, eyesithathu, yesibini kwisantya kwakunye neshumi elinesihlanu yesithathu kwisantya, zingekho ezinyuke ngaphantsi kwisibhozo yemipu.
9
NIv2
task872_opus_xhosanavy_translation_eng_xhosa
fs_opt
[ -1.1475327014923096, 0.8763142824172974, -0.3446662127971649, -1.076006293296814, -0.32412397861480713, -0.09739461541175842, 1.2290282249450684, 0.3599157929420471, -0.2800803780555725, -0.24374905228614807, 0.2856595516204834, 0.22637194395065308, -0.5568549633026123, 0.2530636489391327,...
instruction: In this task, you are given an article. Your task is to summarize the article in a sentence. question: She has been removed for allegedly bringing the party into disrepute. Ms Patterson recently criticised the party's decision to overlook her for the South Belfast assembly seat vacated by Jimmy Spratt, and...
A police helicopter was called out after a drink driver fled and ran off into the Denbighshire countryside, Mold Crown Court has heard.
9
NIv2
task1290_xsum_summarization
fs_opt
[ 0.28544092178344727, 0.5028057098388672, -0.6264792680740356, 0.28583186864852905, 0.592220664024353, -0.3616795837879181, 0.5041555166244507, 0.5449073314666748, -0.29338106513023376, -0.07365356385707855, 0.07952489703893661, 1.0277316570281982, -0.019207876175642014, 0.8012271523475647,...
Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be ...
Does bCL3 reduce the Sterile Inflammatory Response in Pancreatic and Biliary Tissues?
9
NIv2
task847_pubmedqa_question_generation
fs_opt
[ 0.4299743175506592, 0.42133814096450806, -0.15424972772598267, -0.08997844904661179, 0.677541971206665, -0.577957272529602, 0.30306702852249146, 0.7084479928016663, -0.3619050085544586, 0.07370103150606155, -0.3892633318901062, -0.13451820611953735, -0.7752790451049805, 0.4201964735984802,...
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English. See one example below: Problem: מונטריי היא אחת מהם. Solution: Monterey is one of those. Explanation: The Hebrew sentence is correctly translated into English. `Montery` is correctly translated into `מו...
There was amazing improvements.
4
NIv2
task1234_ted_translation_he_en
fs_opt
[ -0.1137971356511116, 0.6633679866790771, 0.3791942000389099, -0.6392043828964233, -0.5817812085151672, -0.9894599318504333, 0.5069564580917358, 0.2786238193511963, 1.0374972820281982, -0.38768863677978516, -0.5662895441055298, 0.240896075963974, -0.9194637537002563, 0.24157586693763733, ...
Instructions: In this task, you are given a sentence in English, and your task is to translate it into Persian. Input: There are 287,425 registered candidates in Iran's local elections this year, including 17,885 women. Output:
از بین این ۲۸۷۴۲۵ نفر که ثبت نام کرده بودند، ۱۷۸۸۵ نفر آنها زن هستند.
3
NIv2
task663_global_voices_en_fa_translation
zs_opt
[ -0.5183699131011963, 0.6562362909317017, 0.05365839600563049, 0.16327306628227234, -0.06286551803350449, 0.23009686172008514, -0.3396129906177521, 0.04254691302776337, 0.04870358482003212, 0.3446577787399292, -0.4700743854045868, 0.012567220255732536, -0.2827407419681549, -0.25455465912818...
Q: Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a comma...
I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_RIGHT I_RUN I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP
7
NIv2
task128_scan_structured_text_generation_command_action_short
zs_opt
[ 0.10958168655633926, 0.8725149631500244, -0.35130125284194946, 0.10600226372480392, 0.029661530628800392, 0.11356431245803833, 0.03236832842230797, 0.13079190254211426, -0.15299461781978607, -0.32703614234924316, -0.8259145021438599, -0.2401457279920578, -0.87607741355896, -0.1622730344533...
TASK DEFINITION: Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence. PROBLEM: How many unmarried same-sex partnerships had kids, oh actually, how many opposite-sex couples? SOLUTION: How many unmarried opposite-sex partnerships had kids? PROBLEM...
What profession did many graduates of Cambridge become in 1643?
8
NIv2
task1195_disflqa_disfluent_to_fluent_conversion
fs_opt
[ 0.1585543006658554, 0.8622117638587952, 0.22265523672103882, -0.7568002939224243, -0.17061585187911987, 0.22044220566749573, 0.6940033435821533, 0.2872723937034607, 0.18364155292510986, -0.24001333117485046, -0.6390928030014038, 0.15461033582687378, -1.0257861614227295, -0.2894315719604492...
You will be given a definition of a task first, then some input of the task. In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st eleme...
2, 3, 6
1
NIv2
task506_position_of_all_alphabetical_elements_in_list
zs_opt
[ -0.07055862247943878, 0.3614334464073181, -0.3342994451522827, -0.06891125440597534, 0.3429116904735565, -0.17466147243976593, 1.0846025943756104, -0.09972904622554779, 0.08243344724178314, 0.4175657033920288, -0.4409361481666565, 0.06696580350399017, 0.09295275062322617, -0.16141304373741...
Teacher: In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the r...
b
2
NIv2
task267_concatenate_and_reverse_all_elements_from_index_i_to_j
fs_opt
[ -0.14237931370735168, -0.0034394876565784216, -0.4393138885498047, -0.5367304682731628, -0.0058930404484272, -0.44478839635849, 0.24094776809215546, 0.4095294773578644, -0.8003969788551331, -0.0899328887462616, -0.9665398597717285, -0.2143353819847107, -0.07554849237203598, -0.513944029808...
Part 1. Definition In this task you are given a Chinese paragraph related to a criminal case, your job is to give an answer of what the criminal charge is. Take note a) if there are multiple charges only one needs to be outputted b) the criminal charge should be in Chinese. Part 2. Example 昌宁县人民检察院指控,2014年4月19日下午16时许,...
重大责任事故
7
NIv2
task1667_cail2018_answer_generation
fs_opt
[ 0.44228625297546387, 0.4281940460205078, -0.4146895706653595, -0.500859260559082, 0.4087657928466797, -0.33893918991088867, 0.27684861421585083, 0.9511323571205139, -0.5088886022567749, 0.4350694417953491, 0.025851363316178322, -0.05830908194184303, 0.3783051371574402, 0.24107331037521362,...
Q: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have...
No
7
NIv2
task1198_atomic_classification_owant
zs_opt
[ 0.19224631786346436, 0.4057537317276001, 0.38100695610046387, -0.1620899885892868, -0.45711660385131836, -0.9705336689949036, 1.2316417694091797, -0.07579344511032104, -0.5762222409248352, -0.49429851770401, -0.14376145601272583, -0.26941990852355957, -0.7240946888923645, 0.463359773159027...